Image-Text-to-Text
PEFT
Safetensors
Oriya
ocr
odia
qwen3
qlora
rft
rejection-sampling
conversational
Instructions to use Pritosh/odia-ocr-rft-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Pritosh/odia-ocr-rft-v2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.5-4B") model = PeftModel.from_pretrained(base_model, "Pritosh/odia-ocr-rft-v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c0d3fbfe0c73cc92d27f5aaca3e03fcc545558ad73d783690da1419f7d3d9470
- Size of remote file:
- 20 MB
- SHA256:
- 547a658514e17c019c67b63c1c8ad0b57239d96b04f20cf1fa421827961631a5
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